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First Experiences on an Accurate SPH Method on GPUs

机译:在GPU上使用精确SPH方法的初步经验

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摘要

It is well known that the standard formulation of the Smoothed Particle Hydrodynamics is usually poor when scattered data distribution is considered or when the approximation near the boundary occurs. Moreover, the method is computational demanding when a high number of data sites and evaluation points are employed. In this paper an enhanced version of the method is proposed improving the accuracy and the efficiency by using a HPC environment. Our implementation exploits the processing power of GPUs for the basic computational kernel resolution. The performance gain demonstrates the method to be accurate and suitable to deal with large sets of data.
机译:众所周知,当考虑分散的数据分布或在边界附近发生近似时,“平滑粒子流体动力学”的标准公式通常较差。此外,当采用大量数据站点和评估点时,该方法的计算要求很高。本文提出了该方法的增强版本,通过使用HPC环境提高了准确性和效率。我们的实现将GPU的处理能力用于基本的计算内核解析。性能的提高表明该方法是准确的,适合处理大量数据。

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